Learn about Quantum Information Physics

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By applying Einstein's mass-energy equivalence (E = mc²) to Landauer's thermodynamic bound on information (E ≥ k_B T ln(2)), I derive a fundamental unit of information-energy: the Infoton, with mass 3.19 × 10⁻³⁸ kg. Janus states this represents a minimum quantized unit of information on the scale of sub-atomic particles and discuss measurement implications for information-fundamental physics.

No thermodynamic analysis of waste heat in an endorheic basin has been performed by any operator, agency, or regulatory body prior to this publication. Using the ANS/ANS-5.1-2014 decay heat standard, I calculate that the 13-reactor fleet continuously rejects 8.97 gigawatts of waste heat, evaporating 101,543 acre-feet per year from a terminal basin with no thermal exit pathway, consuming 49 percent of the Great Salt Lake's current volume over one operating license. The proximate cause of the energy demand driving this deployment is a thermodynamic specification omission in the 1964 IBM byte standard, which excluded Landauer's minimum energy relationship despite its publication at IBM three years earlier. No party named in the liability section performed this analysis before authorizing, funding, or deploying reactors in Utah. The Great Salt Lake is not a suitable site for thermodynamic nuclear deployment. 

Biophysics describes mitochondria in terms of membrane potential, electron transport rates in kinetic terms, and coherence phenomena in isolated complexes. By substituting e·Δψₘ for E in Plank-Einstein Relation of E = ℏω I calculate a mechanistic quantum frequency of 36.26 THz, or more specifically the heartbeat of mitochondria.

By substituting Hawking temperature (T_H = ℏc³/8πGMk_B) into the Infoton equation m = (k_B T ln(2))/c², I derive the information-energy mass at a black hole horizon: m = (ℏc)(ln(2))/(8πGM). This result shows Infoton mass is inversely proportional to black hole mass—as a black hole evaporates, information at its horizon becomes more massive. More generally, temperature mediates the coupling between information and spacetime geometry.

A literature review reveals no published Landauer analysis (E ≥ kBT ln(2)) applied to nuclear reactor control systems. The physics capabilities of the computers controlling these reactors have never been analyzed against the capabilities being promised. With the connection of information-mass-energy equivalency m(T) = kBT ln(2)/c², a review of all technology and their energy-consuming counterparts must be performed, and behaviors adjusted based on the new understandings revealed.

Although "Information physics" is a new "interpretation" of quantum mechanics, it is not an attempt to alter standard quantum mechanics, for example, extending it to theories such as "hidden variables" to restore determinism or adding terms to the Schrödinger equation to force a wave function collapse. 

Information physics investigates the quantum mechanical and thermodynamic implications of cosmic information structures, especially those that were created before the existence of human observers.

Mathematically speaking, cancer is represented by unseen mathematical objects called hash functions. The theory behind hash functions describes all possible cases of cryptographic indifferentiability and the fundamental characteristic known as "collisions resistance".  Both genetically and cryptographically speaking, in order to cure cancer we are needed to attack hash function, to reduce collision resistance.

The basic concept behind word entropy is that the more complex malware gets, the less ordered, or efficient in its use of characters, that the file hiding malware becomes. This loss of order leads to entropy values that are much higher than would otherwise be expected — off-the-charts complexity that sticks out like a sore thumb. The same concepts can be applied to the mitochondria.

The Prime state of n qubits, |Pn⟩, is defined as the uniform superposition of all the computational-basis states corresponding to prime numbers smaller than 2n. This state encodes, quantum mechanically, arithmetic properties of the primes. We first show that the Quantum Fourier Transform of the Prime state provides a direct access to Chebyshev-like biases in the distribution of prime numbers. We next study the entanglement entropy of |Pn⟩ up to n=30 qubits, and find a relation between its scaling and the Shannon entropy of the density of square-free integers. This relation also holds when the Prime state is constructed using a qudit basis, showing that this property is intrinsic to the distribution of primes.

Sometime before 300 BC, someone showed that there are infinitely many prime numbers – we know this, because a proof appears in Euclid’s famous Elements. In modern notation, if we write π(n) for the number of primes no greater than n, we can say that, π(n) → ∞, as n → ∞.  the first person to connect prime-counting questions with information-theoretic ideas and methods is Patrick Billingsley.  In the transcript of his 1973 lectures he describes a beautiful heuristic argument for proving Theorem 1 using simple computations in terms of the entropy.

 Increasing entropy, the principle that, unless provided with new outside energy, any system will constantly lose usable energy, is a theoretical formulation for progressive irreversible disorder and randomness in the cells. The concept of entropy (structural genomic, transcriptomic, network of signal transduction, etc.) has been repeatedly applied to the characteristics of cancer tissue or cells: A role in the genesis of cancer was suggested, and a causal role was formally proposed in cancerogenesis. This aspect will be emphasized in this review. Increased entropy of signaling (or gene interaction networks) has been well studied as a cancer characteristic: Network entropy (NE) increases along with cancer progresses, yielding NEnormal < NEtumor < NEmetastasis.

Life on Earth might be performing vast numbers of calculations at the quantum level every second, potentially sharing a mathematical relationship with the universe itself. A new study published in Science Advances suggests our conventional understanding of biological computation has vastly underestimated what occurs in every living cell, and points to a connection between life and cosmic structure that could transform our understanding of existence.